Justin Romberg

121 papers A* 7A 5C 4Misc 4Journal 76Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems. CoRR Namhoon Kim, Narges Moeini, Justin Romberg, Sara Fridovich-Keil
2026	J	`jnl`	A Multiply-and-Accumulate SAR-ADC-Based Hybrid Slepian Beamformer. IEEE J. Solid State Circuits Zhengqi Xu, Zhiyuan Zhao, Michael A. Laun, Coleman DeLude, Justin Romberg, Michael P. Flynn
2025	J	`jnl`	A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation. IEEE Trans. Autom. Control. Sheng Zhang, Ashwin Pananjady, Justin Romberg
2025	—	`conf`	A Fast Broadband Beamspace Transformation. CAMSAP Nakul Singh, Coleman DeLude, Mark A. Davenport, Justin Romberg
2025	J	`jnl`	A general technique for approximating high-dimensional empirical kernel matrices. CoRR Chiraag Kaushik, Justin Romberg, Vidya Muthukumar
2025	J	`jnl`	Accelerating Multi-Task Temporal Difference Learning under Low-Rank Representation. CoRR Yitao Bai, Sihan Zeng, Justin Romberg, Thinh T. Doan
2025	J	`jnl`	Broadband Beamforming Using Low-Bit Precision Dimensionality Reduction. IEEE J. Sel. Top. Signal Process. Coleman DeLude, Xiangyu Mao, Sudarshan Sharma, Wei-Chun Wang, Saibal Mukhopadhyay, Mark A. Davenport, Justin Romberg
2025	—	`conf`	Fully Digital Ultra-low-bit Linear Embedding Beamforming System with Quantization Compensation. RWS Xiangyu Mao, Coleman DeLude, Wei-Chun Wang, Justin Romberg, Saibal Mukhopadhyay
2025	J	`jnl`	Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation. CoRR Alex Saad-Falcon, Brighton Ancelin, Justin Romberg
2024	J	`jnl`	A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM J. Optim. Sihan Zeng, Thinh T. Doan, Justin Romberg
2024	—	`conf`	BeamCIM: A Compute-In-Memory based Broadband Beamforming Accelerator using Linear Embedding. RWS Nael Mizanur Rahman, Sudarshan Sharma, Coleman DeLude, Wei Chun Wang, Justin Romberg, Saibal Mukhopadhyay
2024	A	`conf`	Confidence-Based Curriculum Learning for Multi-Agent Path Finding. AAMAS Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig
2024	J	`jnl`	Confidence-Based Curriculum Learning for Multi-Agent Path Finding. CoRR Thomy Phan, Joseph Driscoll, Justin Romberg, Sven Koenig
2024	J	`jnl`	Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games With Demand Response Aggregators. IEEE Trans. Syst. Man Cybern. Syst. Styliani I. Kampezidou, Justin Romberg, Kyriakos G. Vamvoudakis, Dimitri N. Mavris
2024	J	`jnl`	Globally Optimal Assignment Algorithm for Collective Object Transport Using Air-Ground Multirobot Teams. IEEE Trans. Control. Syst. Technol. Tatsuya Miyano, Justin Romberg, Magnus Egerstedt
2024	J	`jnl`	Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2024	A*	`conf`	Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks. NeurIPS Chiraag Kaushik, Justin Romberg, Vidya Muthukumar
2024	J	`jnl`	Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks. CoRR Chiraag Kaushik, Justin Romberg, Vidya Muthukumar
2024	J	`jnl`	Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals. CoRR Daqian Bao, Alex Saad-Falcon, Justin Romberg
2024	J	`jnl`	Rapid Grassmannian Averaging with Chebyshev Polynomials. CoRR Brighton Ancelin, Alex Saad-Falcon, Kason Ancelin, Justin Romberg
2024	—	`conf`	Subspace Tracking with Dynamical Models on the Grassmannian. SAM Alex Saad-Falcon, Brighton Ancelin, Justin Romberg
2023	—	`conf`	AFE-CIM: A Current-Domain Compute-In-Memory Macro for Analog-to-Feature Extraction. ESSCIRC Sudarshan Sharma, Wei Chun Wang, Coleman DeLude, Minah Lee, Nael Mizanur Rahman, Narasimha Vasishta Kidambi, Justin Romberg, Saibal Mukhopadhyay
2023	A*	`conf`	Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. NeurIPS Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	J	`jnl`	Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	J	`jnl`	Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. IEEE Trans. Autom. Control. Sajad Khodadadian, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri
2023	J	`jnl`	Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning. IEEE Trans. Autom. Control. Sihan Zeng, Thinh T. Doan, Justin Romberg
2023	J	`jnl`	Iterative Broadband Source Localization. IEEE J. Sel. Areas Inf. Theory Coleman DeLude, Rakshith Sharma Srinivasa, Santhosh Karnik, Christopher Hood, Mark A. Davenport, Justin Romberg
2023	J	`jnl`	Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer. IEEE Trans. Inf. Theory Andrew D. McRae, Justin Romberg, Mark A. Davenport
2023	A*	`conf`	PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems. NeurIPS Jihui Jin, Etienne Ollivier, Richard Touret, Matthew McKinley, Karim Sabra, Justin Romberg
2023	J	`jnl`	Scalable Online Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators. CoRR Styliani I. Kampezidou, Justin Romberg, Kyriakos G. Vamvoudakis, Dimitri N. Mavris
2022	J	`jnl`	A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation. CoRR Sheng Zhang, Ashwin Pananjady, Justin Romberg
2022	—	`conf`	A Dual Accelerated Method for a Class of Distributed Optimization Problems: From Consensus to Decentralized Policy Evaluation. CDC Sheng Zhang, Ashwin Pananjady, Justin Romberg
2022	C	`conf`	Distributed Optimal Assignment Algorithm for Collective Foraging. ACC Tatsuya Miyano, Justin Romberg, Magnus Egerstedt
2022	—	`conf`	Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CDC Sihan Zeng, Thinh T. Doan, Justin Romberg
2022	J	`jnl`	Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver. CoRR Peimeng Guan, Jihui Jin, Justin Romberg, Mark A. Davenport
2022	—	`conf`	Passivity-Based Distributed Control for Cooperative Unknown Payload Manipulation with Sensing/Actuation Delays. CCTA Tatsuya Miyano, Justin Romberg, Magnus Egerstedt
2022	A*	`conf`	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. NeurIPS Sihan Zeng, Thinh T. Doan, Justin Romberg
2022	J	`jnl`	Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2022	J	`jnl`	Streaming Solutions for Time-Varying Optimization Problems. IEEE Trans. Signal Process. Tomer Hamam, Justin Romberg
2022	J	`jnl`	Thomson's Multitaper Method Revisited. IEEE Trans. Inf. Theory Santhosh Karnik, Justin Romberg, Mark A. Davenport
2021	J	`jnl`	A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network. IEEE J. Solid State Circuits Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher Rozell, Justin Romberg, Michael P. Flynn
2021	J	`jnl`	A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences. IEEE Trans. Circuits Syst. I Regul. Pap. Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury
2021	J	`jnl`	A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	A	`conf`	A decentralized policy gradient approach to multi-task reinforcement learning. UAI Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg
2021	J	`jnl`	Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach. IEEE Trans. Autom. Control. Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	J	`jnl`	Decentralized Feature-Distributed Optimization for Generalized Linear Models. CoRR Brighton Ancelin, Sohail Bahmani, Justin Romberg
2021	J	`jnl`	Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization. IEEE Trans. Autom. Control. Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	J	`jnl`	Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. CoRR Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	—	`conf`	Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CDC Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	J	`jnl`	Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2021	J	`jnl`	Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation. SIAM J. Math. Data Sci. Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2021	C	`conf`	Online Adaptive Learning in Energy Trading Stackelberg Games with Time-Coupling Constraints. ACC Styliani I. Kampezidou, Justin Romberg, Kyriakos G. Vamvoudakis, Dimitri N. Mavris
2021	J	`jnl`	STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. J. Am. Medical Informatics Assoc. Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
2021	J	`jnl`	Thomson's Multitaper Method Revisited. CoRR Santhosh Karnik, Justin Romberg, Mark A. Davenport
2020	—	`conf`	A 17.8MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS. CICC Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher J. Rozell, Justin Romberg, Michael P. Flynn
2020	J	`jnl`	A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning. CoRR Sihan Zeng, Aqeel Anwar, Thinh T. Doan, Justin Romberg, Arijit Raychowdhury
2020	J	`jnl`	Compressive Sampling of Ensembles of Correlated Signals. IEEE Trans. Inf. Theory Ali Ahmed, Justin Romberg
2020	—	`conf`	Distributed Force/Position Optimization Dynamics for Cooperative Unknown Payload Manipulation. CDC Tatsuya Miyano, Justin Romberg, Magnus Egerstedt
2020	J	`jnl`	Fast Convex Pruning of Deep Neural Networks. SIAM J. Math. Data Sci. Alireza Aghasi, Afshin Abdi, Justin Romberg
2020	J	`jnl`	Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. CoRR Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun
2020	J	`jnl`	Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CoRR Sihan Zeng, Thinh T. Doan, Justin Romberg
2020	J	`jnl`	Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness. CoRR Thinh T. Doan, Lam M. Nguyen, Nhan H. Pham, Justin Romberg
2020	—	`conf`	Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation. L4DC Thinh T. Doan, Justin Romberg
2020	C	`conf`	Hardware-Aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices. ISCAS Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury
2020	J	`jnl`	In-Field Performance Optimization for mm-Wave Mixed-Signal Doherty Power Amplifiers: A Bandit Approach. IEEE Trans. Circuits Syst. Shaojie Xu, Fei Wang, Hua Wang, Justin Romberg
2020	J	`jnl`	Localized sketching for matrix multiplication and ridge regression. CoRR Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg
2020	J	`jnl`	OPTIMO: A 65-nm 279-GOPS/W 16-b Programmable Spatial-Array Processor with On-Chip Network for Solving Distributed Optimizations via the Alternating Direction Method of Multipliers. IEEE J. Solid State Circuits Muya Chang, Li-Hsiang Lin, Justin Romberg, Arijit Raychowdhury
2020	C	`conf`	Primal-Dual Gradient Dynamics for Cooperative Unknown Payload Manipulation without Communication. ACC Tatsuya Miyano, Justin Romberg, Magnus Egerstedt
2020	J	`jnl`	STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence. CoRR Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
2020	A*	`conf`	Sample complexity and effective dimension for regression on manifolds. NeurIPS Andrew D. McRae, Justin Romberg, Mark A. Davenport
2020	J	`jnl`	Sample complexity and effective dimension for regression on manifolds. CoRR Andrew D. McRae, Justin Romberg, Mark A. Davenport
2020	A	`conf`	Sample complexity bounds for localized sketching. AISTATS Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg
2020	J	`jnl`	Trading Beams for Bandwidth: Imaging with Randomized Beamforming. SIAM J. Imaging Sci. Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg
2019	J	`jnl`	A Hardware Realization of Superresolution Combining Random Coding and Blurring. IEEE Trans. Computational Imaging Kevin Beale, Jianbo Chen, Anthony Giljum, Kevin F. Kelly, Justin Romberg
2019	J	`jnl`	A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors. CoRR Pietro Pierpaoli, Thinh T. Doan, Justin Romberg, Magnus Egerstedt
2019	J	`jnl`	Appearance-based Gesture recognition in the compressed domain. CoRR Shaojie Xu, Anvesha Amaravati, Justin Romberg, Arijit Raychowdhury
2019	J	`jnl`	Convex Programming for Estimation in Nonlinear Recurrent Models. CoRR Sohail Bahmani, Justin Romberg
2019	A*	`conf`	Decentralized sketching of low rank matrices. NeurIPS Rakshith Sharma Srinivasa, Kiryung Lee, Marius Junge, Justin Romberg
2019	Misc	`conf`	Efficient Signal Reconstruction via Distributed Least Square Optimization on a Systolic FPGA Architecture. ICASSP Muya Chang, Samantak Gangopadhyay, Tomer Hamam, Justin Romberg, Arijit Raychowdhury
2019	Misc	`conf`	Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. ICASSP Shaojie Xu, Sihan Zeng, Justin Romberg
2019	J	`jnl`	Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. CoRR Shaojie Xu, Sihan Zeng, Justin Romberg
2019	A*	`conf`	Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning. ICML Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2019	J	`jnl`	Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation. CoRR Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2019	J	`jnl`	Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices. CoRR Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury
2019	—	`conf`	Linear Two-Time-Scale Stochastic Approximation A Finite-Time Analysis. Allerton Thinh T. Doan, Justin Romberg
2019	—	`conf`	Optimo: A 65Nm 270Mhz 143.2Mw Programmable Spatial-Array-Processor With A Hierarchical Multi-Cast On-Chip Network For Solving Distributed Optimizations. CICC Muya Chang, Li-Hsiang Lin, Justin Romberg, Arijit Raychowdhury
2019	J	`jnl`	Phase Retrieval of Low-Rank Matrices by Anchored Regression. CoRR Kiryung Lee, Sohail Bahmani, Yonina C. Eldar, Justin Romberg
2019	—	`conf`	Second-Order Filtering Algorithm for Streaming Optimization Problems. CAMSAP Tomer Hamam, Justin Romberg
2019	J	`jnl`	Solving Equations of Random Convex Functions via Anchored Regression. Found. Comput. Math. Sohail Bahmani, Justin Romberg
2018	J	`jnl`	A 130 nm 165 nJ/frame Compressed-Domain Smashed-Filter-Based Mixed-Signal Classifier for "In-Sensor" Analytics in Smart Cameras. IEEE Trans. Circuits Syst. II Express Briefs Anvesha Amaravati, Shaojie Xu, Justin Romberg, Arijit Raychowdhury
2018	—	`conf`	A FeFET Based Processing-In-Memory Architecture for Solving Distributed Least-Square Optimizations. DRC Insik Yoon, Muya Chang, Kai Ni, Matthew Jerry, Samantak Gangopadhyay, Gus Henry Smith, Tomer Hamam, Vijayakrishan Narayanan, Justin Romberg, Shih-Lien Lu, Suman Datta, Arijit Raychowdhury
2018	J	`jnl`	A Light-Powered Smart Camera With Compressed Domain Gesture Detection. IEEE Trans. Circuits Syst. Video Technol. Anvesha Amaravati, Shaojie Xu, Ningyuan Cao, Justin Romberg, Arijit Raychowdhury
2018	J	`jnl`	Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs. IEEE Trans. Netw. Sci. Eng. Sohail Bahmani, Justin Romberg, Prasad Tetali
2018	J	`jnl`	Extracting the Principal Shape Components via Convex Programming. IEEE Trans. Image Process. Alireza Aghasi, Justin Romberg
2018	J	`jnl`	Fast Convex Pruning of Deep Neural Networks. CoRR Alireza Aghasi, Afshin Abdi, Justin Romberg
2018	J	`jnl`	Fast and Guaranteed Blind Multichannel Deconvolution Under a Bilinear System Model. IEEE Trans. Inf. Theory Kiryung Lee, Ning Tian, Justin Romberg
2018	—	`conf`	Localized random projections with applications to coherent array imaging. Allerton Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg
2018	—	`conf`	On the Convergence of Distributed Subgradient Methods under Quantization. Allerton Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
2018	J	`jnl`	ROAST: Rapid Orthogonal Approximate Slepian Transform. IEEE Trans. Signal Process. Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
2018	J	`jnl`	Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness. SIAM J. Imaging Sci. Kiryung Lee, Felix Krahmer, Justin Romberg
2018	J	`jnl`	The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. IEEE Signal Process. Lett. Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
2017	—	`conf`	A 65nm compressive-sensing time-based ADC with embedded classification and INL-aware training for arrhythmia detection. BioCAS Amaravati Anvesha, Shaojie Xu, Justin Romberg, Arijit Raychowdhury
2017	J	`jnl`	Anchored Regression: Solving Random Convex Equations via Convex Programming. CoRR Sohail Bahmani, Justin Romberg
2017	Misc	`conf`	Appearance-based gesture recognition in the compressed domain. ICASSP Shaojie Xu, Anvesha Amaravati, Justin Romberg, Arijit Raychowdhury
2017	—	`conf`	Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. NIPS Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg
2017	—	`conf`	Performance guarantees of spectral methods for passive sensing of multiple channels. DSP Kiryung Lee, Ning Tian, Justin Romberg
2017	A	`conf`	Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation. AISTATS Sohail Bahmani, Justin Romberg
2017	J	`jnl`	ROAST: Rapid Orthogonal Approximate Slepian Transform. CoRR Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
2017	Misc	`conf`	Sampling and reconstruction in the 21st century. ICASSP Justin Romberg
2017	J	`jnl`	Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness. CoRR Kiryung Lee, Felix Krahmer, Justin Romberg
2017	J	`jnl`	The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. CoRR Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
2016	A	`conf`	A Light-powered, "Always-On", Smart Camera with Compressed Domain Gesture Detection. ISLPED Amaravati Anvesha, Shaojie Xu, Ningyuan Cao, Justin Romberg, Arijit Raychowdhury
2016	J	`jnl`	A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture Detection. CoRR Amaravati Anvesha, Shaojie Xu, Ningyuan Cao, Justin Romberg, Arijit Raychowdhury
2016	J	`jnl`	Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks. CoRR Alireza Aghasi, Nam Nguyen, Justin Romberg
2016	J	`jnl`	Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation. CoRR Sohail Bahmani, Justin Romberg
2015	J	`jnl`	Compressive Deconvolution in Random Mask Imaging. IEEE Trans. Computational Imaging Sohail Bahmani, Justin Romberg
2009	—	`conf`	A uniform uncertainty principle for Gaussian circulant matrices. DPS Justin Romberg
2009	—	`conf`	Random channel coding and blind deconvolution. Allerton M. Salman Asif, William Mantzel, Justin Romberg
2008	J	`jnl`	Imaging via Compressive Sampling. IEEE Signal Process. Mag. Justin Romberg
2008	—	`conf`	Streaming measurements in compressive sensing: ℓ1 filtering. ACSCC M. Salman Asif, Justin Romberg
2007	—	`conf`	Variational methods for compressive sampling. Computational Imaging Justin Romberg